data center market overview - napatech center data center cran (sgw/pgw/mme) three big trends 01...

Data Center Market OverviewNapatech Capital Markets DayApril 2018Oslo, Norway

© Copyright 2018 Xilinx

$2.35B FY17 revenue

>60% market segment share

3,500+ employees worldwide

20,000 customers worldwide

3,500+ patents

60 industry firsts

XILINX - Founded 1984

Headquarters

Research and Development

Sales and Support

Manufacturing

The All Programmable Company


Enabling

Cars and

Machines

to See it All

Embedded Vision

Xilinx Multi-Market Growth Drivers

Accelerating

Storage,

Networking,

and Compute

Cloud Computing

Enabling

Safe and Secure

Connected

Machines

Industrial IoT

Connecting

Any Band,

Any Standard,

Any Network

5G Wireless

Machine LearningEdge Cloud


Data Centers Popping Up Everywhere

Radio Access Network

eNodeB

RNC /SAE

Home and Business Gateway /Access

Router (CPE/ONU)

EPC

PGW

MME

Data CenterSmall cellSP Wifi

Access network Aggregation/Evolved Packet Core Network Remote Service Center

Core Router

Hyperscale Data Center

or Cloud

Home

Office/SMB

Wireline Network

Wireless Network

BRAS (Broadcast remote

access server)

Head-end

SGW

Core Network

IoT Gateway

Wireline Multi-Service aggregation Router(CO-DSLAM, OLT)

Aggregation Switch

IMS/Internet

RRH

HSS

IoT

Data Center

Data Center

CRAN (SGW/PGW/MME)

Three Big Trends

01Explosion of Data

> 90% unstructured

> Video & image content

> Needs higher throughput & real-time computing

> Adoption across all industries

> Injecting new intelligence into apps

> From endpoints to edge to cloud

Three Big Trends

02Dawn of AI

> Heterogeneous computing with accelerators

> Breadth of apps require different architectures

> Speed of innovation outpacing silicon design cycles

Three Big Trends

03Computing After Moore’s Law


Market Trend and Requirements

Varying Applications

• Beyond Moore’s Law

• Dynamic Workload Mix

• Intelligent Applications

• Power Efficiency

• Heterogeneous computing

• Computational Storage

• Storage Disaggregation

• Smart Networking

• Security

Compute

Network

Storage

Base Components

Computational

Storage

Smart

Networking

Intelligent

Applications

Requirements


Mega Trend: AI is the new Electricity

AI projected to get embedded within traditional workloads across most industries

Multi-B$ Acceleration TAM across FPGAs / GPUs / ASICs

AI Market in 2016 AI Market in 2025

$1B


Machine Learning Use Case: Video Captioning


Mega Trend: Reconfigurable Acceleration in Hyperscale Data Center

Tier1 HS adopting FPGA for general purpose acceleration across multiple in-house and external workloads

Reconfigurable acceleration is the key to scaling performance in Hyperscale Data Centers

Google Workload Study (Google, Harvard, Yahoo Labs)


FaaS is a new business model

Scaling from 1000s of RTL customers Millions of software developers 10,000s of end-customers

Two key success drivers:

– Ease of Use: Development environment / libraries / frameworks / APIs to enable software developers & data scientists

– Ecosystem: Availability of compelling applications from a multi-layered developer ecosystem

Mega Trend: FPGA-as-a-Service

End Customers

SaaSDevelopers

Accelerated Applications

IP & Libraries

Platform Provider

IP & AppDevelopers

Application as a Service

FPGA platform in the cloud

Development Environment & HAL / Runtime


MLE

Enterprise

SaaS

Apps

FaaS

FPGA-as-a-Service Expanding Worldwide

1

2

3


Seamless Deployment of Software Stack

Customized Datapath

Retargetable Compiler and Runtime

Fro

m X

ilinx

Fro

m

Com

munity Deploy

Compute Acceleration

Video & ImageProcessing 10x*

Data Analytics 90x*

Genomics 100x*

MachineLearning 40x*

Compute Acceleration

Genomics Use Case: Personalized Medicine

Whole genome diagnosis to treat critically ill newborns

Analysis reduced from 1 day to 20 minutes

Patient-specific genomics dynamically optimized

Field Programmable Gate Arrays (FPGAs) are semiconductor

devices that are based around a matrix of configurable logic

blocks (CLBs) connected via programmable interconnects.

FPGAs can be reprogrammed to desired application or

functionality requirements after manufacturing.

This feature distinguishes FPGAs from Application Specific

Integrated Circuits (ASICs), which are custom manufactured

and fixed for use cases.

What is an FPGA ?

From FPGA to Adaptive Compute Acceleration Platform

HW/SW Programmable Engines

Next GenProgrammable

Logic

Application Processors

Real-Time Processors

GPIO &Mem I/F

SerDesRF

DAC/ADCHBM

ACAP

New Device Category for AdaptiveWorkload-Specific Acceleration

> HW/SW programmable engines

> IP subsystems and a network-on-chip

> Highly integrated programmable I/O

Benefits of an Adaptive Compute Acceleration Platform

Dynamically Adaptable to Workloads

Exponential Increase in Acceleration

Software Programmable

Custom acceleration for any workload – in milliseconds

Project “Everest” The First 7nm ACAP Product Family

4x5G Communications Bandwidth

20x AI Compute Capability

Revolutionary Adaptability

Software & Hardware UsersRapid Innovation & Deployment

Dynamic Optimization for Workloads


Our Journey Towards “FPGA in Every Server” is just getting started…..

FPGA-as-a-ServiceExternal workloads

Reconfigurable Compute AcceleratorX+ML (Database/Video/Genomics/….)

Smart Storage ControllersTime-to-market, Flexibility, Computational Storage

Smart NICFabric attached network & compute acceleration

data center market overview - napatech center data center cran (sgw/pgw/mme) three big trends 01...

Documents